iPhone 16 Pro Max
Geekbench AI Score
4277
Single Precision Score
7427
Half Precision Score
5912
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 16 Pro Max |
| Model ID | iPhone17,2 |
| Motherboard | D94AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.44 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1949
362.4 IPS |
|
|
Image Classification (HP)
|
100% |
3428
637.5 IPS |
|
|
Image Classification (Q)
|
96% |
2204
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3085
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8235
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
16815
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14128
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.9 IPS |
|
|
Object Detection (HP)
|
97% |
3653
290.8 IPS |
|
|
Object Detection (Q)
|
94% |
2570
204.9 IPS |
|
|
Face Detection (SP)
|
100% |
3395
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
6633
78.8 IPS |
|
|
Face Detection (Q)
|
100% |
3851
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7817
60.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13510
104.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9331
72.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20426
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35933
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
28700
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5202
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7213
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4778
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (HP)
|
99% |
6258
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6195
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4050
69.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6865
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6933
119.8 IPS |
